SSE-based MCP Server and Client Pattern
This repository provides a working pattern for creating SSE-based MCP servers and clients, facilitating decoupled and scalable interactions suitable for cloud-native architectures, with tools for weather data.
Added on:
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Mar 06 2025
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What is SSE-based MCP Server and Client Pattern?
This project demonstrates how to set up a server and client for the Model Context Protocol (MCP) using Server-Sent Events (SSE). The server provides tools like weather forecasting, while clients can connect and query these tools seamlessly. It supports decoupled, cloud-native architectures, enabling agents to connect, use, and disconnect at will. The implementation includes example scripts, such as weather.py as the server and client.py as the client, showcasing real-time data exchange and tool utilization within a secure, scalable environment. The pattern promotes decoupling of processes, making it suitable for modern distributed systems and edge computing scenarios.
Who will use SSE-based MCP Server and Client Pattern?
- Developers building cloud-native applications
- AI and ML researchers integrating real-time data streams
- Organizations deploying scalable server-client architectures
- Weather data providers and meteorological services
- Anyone implementing MCP-based communication protocols
How to use the SSE-based MCP Server and Client Pattern?
- Step 1: Clone the repository from GitHub.
- Step 2: Install dependencies and set environment variables, including API keys.
- Step 3: Run the weather.py server with `uv run weather.py --host
--port `. - Step 4: Start the client.py application with `uv run client.py
`. - Step 5: Use the client interface to query available tools and fetch real-time data.
- Step 6: Disconnect or quit as needed, allowing for flexible interactions.
SSE-based MCP Server and Client Pattern's Core Features & Benefits
The Core Features
- Weather forecast retrieval
- SSE-based server-client communication
- Tool discovery and invocation
- Configurable host and port
The Benefits
- Decoupled, scalable architecture
- Real-time data streaming
- Flexible cloud-native deployment
- Easy integration with existing cloud services
SSE-based MCP Server and Client Pattern's Main Use Cases & Applications
- Real-time weather forecasting for weather apps
- Distributed agents querying weather data
- IoT devices interacting via SSE with centralized servers
- Cloud-native applications requiring scalable data pipelines
FAQs of SSE-based MCP Server and Client Pattern
Developer
- sidharthrajaram
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